Staff Machine Learning Engineer, ML Platform

About Braze Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.™ Braze allows any marketer to collect and take action on any amount of data from any source, so they can creatively engage with customers in real time, across channels from one platform. From cross-channel messaging and journey orchestration to Al-powered experimentation and optimization, Braze enables companies to build and maintain absolutely engaging relationships with their customers that foster growth and loyalty. The company has been recognized as a 2024 U.S. News & World Report Best Companies to Work For, 2024 Best Small & Medium Workplaces in Europe by Great Place to Work®, 2024 Fortune Best Workplaces for Women™ by Great Place to Work® and was named a Leader by Gartner® in the 2024 Magic Quadrant™ for Multichannel Marketing Hubs and a Strong Performer in The Forrester Wave™: Email Marketing Service Providers, Q3 2024. Braze is headquartered in New York with 15 offices across AMER, LATAM, EMEA, and APAC. Learn more at braze.com.

Braze

Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.™

mobile engagementmobile marketingmarketing automation for appssoftwaredigital marketingcustomer engagementmarketing technologyemail marketingcross-channel marketingcustomer experience

B

braze.com

1,001-5,000 employees

Software Development

New York, New York

2011

Public Company

287k LinkedIn followers

Raised $314.3M

• Braze is seeking a Staff Machine Learning Engineer to join our Predictive and
• Generative AI (PGAI) team. The team's mission is to deliver a truly engaging and
• personalized customer experience through the creation of ML and AI enhanced
• marketing solutions. We run those solutions as production systems at global
• scale, from the distributed pipelines that train models for each customer to the
• high-throughput APIs that serve predictions into our messaging systems across
• multiple regions. You will own the platform underneath, and you will make
• deploying, operating, and scaling ML at Braze fast, safe, and efficient.
• Identify and drive the transformative initiatives that change how the team
• runs ML in production, whether that's replatforming our queueing and
• orchestration, overhauling deployment and cloud identity, or retiring a
• generation of infrastructure
• Build and ship at high velocity. Staff at Braze is a hands-on delivery role;
• you carry the most complex infrastructure initiatives yourself from design
• through production. Current examples include multi-region model serving
• fleets, the pipelines that keep hundreds of customer-specific models healthy,
• and the CI and deployment tooling that moves it all safely
• Own the platform's technical vision and production quality bar. Set direction
• for how models are trained, deployed, served, and observed; lead incident
• response for ML systems; and drive the reliability and cost work that keeps
• the platform efficient at scale
• Drive initiatives that span teams. Our platform builds on shared
• infrastructure, deployment tooling, and data systems owned with partner
• teams, and you carry the technical relationships with those teams
• Raise the team's engineering quality through design review, code review, and
• production readiness for ML systems, and mentor other senior engineers and
• data scientists
• Connect technical decisions to customer and business outcomes, and represent
• the team's technical perspective to product and engineering leadership

• 8+ years building and operating distributed systems in production, with depth
• in deployment and operations. You have designed services for scale and
• reliability, owned CI/CD and infrastructure as code, and run what you built
• under production load
• Hands-on experience with ML workloads in production. Training pipelines,
• model serving, feature systems, or ML platform tooling all count; deep
• modeling experience is a plus rather than a requirement
• A technical leader who has owned direction for a team, led multi-quarter
• initiatives across team boundaries, and grown senior engineers, all while
• keeping a high personal output
• Deep working knowledge of Kubernetes and cloud infrastructure, including
• identity and access management, networking, and the cost profile of what you
• run
• An effective communicator, both verbal and written, whose designs and
• recommendations build consensus and drive forward decision making
• Queueing and orchestration systems such as Celery, RabbitMQ, Kafka, or Ray
• ML platform tooling such as MLflow or another model registry, feature
• stores, or ML observability
• Experience in our stack (Python, Ruby on Rails, MongoDB, Redis,
• Operating under compliance regimes such as SOX or HIPAA
• Customer engagement, personalization, or marketing technology domain
• For candidates based in the United States, the pay range for this position at
• the start of employment is expected to be between $184,000 and $314,000/year,
• with an expected On Target Earnings (OTE) between $204,000 and $348,000/year
• (including bonus or commission). Your exact offer may vary depending on multiple
• individualized factors, including market location, job-related knowledge,
• skills, and experience. In addition to cash compensation, this role qualifies
• for a comprehensive Total Rewards package that includes equity grants of
• restricted stock (RSUs) so that you will own a piece of our company.

• Braze benefits vary by location, and we encourage you to review our specific
• From offering comprehensive benefits to fostering hybrid ways of working, we've
• got you covered so you can prioritize work-life harmony. Braze offers benefits
• Flexible paid time off
• Comprehensive benefit plans covering medical, dental, vision, life, and
• disability
• Family services that include fertility benefits and equal paid parental leave
• Professional development supported by formal career pathing, learning
• platforms, and a yearly learning stipend
• A curated in-office employee experience, designed to foster community, team
• connections, and innovation
• Opportunities to give back to your community, including an annual
• company-wide Volunteer Week and donation matching
• Employee Resource Groups that provide supportive communities within Braze
• Collaborative, transparent, and fun culture recognized as a Great Place to
• Braze is the leading customer engagement platform that empowers brands to Be
• Absolutely Engaging™ Braze helps brands deliver great customer experiences that
• drive value both for consumers and for their businesses. Built on a foundation
• of composable intelligence, BrazeAI™ allows marketers to combine and activate AI
• agents, models, and features at every touchpoint throughout the Braze Customer
• Engagement Platform for smarter, faster, and more meaningful customer
• engagement. From cross-channel messaging and journey orchestration to Al-powered
• decisioning and optimization, Braze enables companies to turn action into
• interaction through autonomous, 1:1 personalized experiences.
• The company has repeatedly been recognized as a Leader in marketing technology
• by industry analysts, and was voted a G2 “Best of Marketing and Digital
• Advertising Software Product” in 2025.
• Braze was also named a 2025 Best Companies To Work For by U.S. News and World
• Report, a 2025 America’s Greatest Companies by Newsweek, and a 2025 Fortune Best
• Workplace in Technology™ by Great Place To Work®, among other accolades. Braze
• is also proudly certified as a Great Place to Work® in the U.S., the UK,
• Australia, and Singapore.
• The company is headquartered in New York with offices in Austin, Berlin,
• Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo,
• Singapore, Seoul, Sydney and Tokyo.
• At Braze, we strive to create equitable growth and opportunities inside and
• outside the organization.
• Building meaningful connections is at the heart of everything we do, and that
• includes our recruiting practices. We're committed to offering all candidates a
• fair, accessible, and inclusive experience – regardless of age, color,
• We know that sometimes different circumstances can lead talented people to
• hesitate to apply for a role unless they meet 100% of the criteria. If this
• sounds familiar, we encourage you to apply, as we’d love to meet you
• At Braze, we’re committed to a fair and transparent candidate experience. To
• help our recruitment teams focus on what matters most — the person behind each
• This includes using AI to analyze the experience, skills and qualifications in
• your application materials to help with screening and prioritizing candidates.
• Such screening may amount to a form of solely automated decision-making. We also
• use AI for administrative support, like scheduling and recording interviews and
• summarizing interview notes. Our recruiting teams remain responsible for all
• hiring decisions and are involved throughout the process.
• Depending on where you are located, you may have certain rights available to you
• To opt out of AI-assisted review of your application, please click the “Learn
• More” at the end of the application form below and follow the instructions
• before submitting your application. Please note, if you apply to multiple
• roles at Braze, you will need to opt out in relation to each application.
• To exercise other types of rights, such as rights to request further
• information about how AI is used in our recruitment process, to request a
• retroactive manual review of any decision made or to contest a decision,
• please contact us at talentdata.privacy@braze.com
• [talentdata.privacy@braze.com].
• Please contact us at talentdata.privacy@braze.com [talentdata.privacy@braze.com]
• with any questions. To find out more about our hiring process, check out this
• page [https://www.braze.com/company/careers/how-we-hire].
• Notice Regarding Automated Employment Decision Tool (NYC Local Law 144)
• Our use of AI during the application review process may include the use of
• automated employment decision tools. Pursuant to New York City Local Law 144,
• for roles based in New York City, or if you reside in New York City, you have
• the right to request an alternative selection process or a reasonable
• accommodation instead of AI-assisted review.
• To opt out of AI-assisted review of your application, please click the “Learn
• More” button below and follow the instructions before submitting your
• application. Please note, if you apply to multiple roles at Braze, you will need
• to opt out in relation to each application. Please submit any other request to
• our Talent Acquisition team at talentdata.privacy@braze.com
• [talentdata.privacy@braze.com] promptly after applying. Summaries of the most
• recent bias audit results for such tools are available here
• Policy [https://www.braze.com/company/legal/privacy-policy-job-candidates] for
• more information on how Braze processes your personal information during the
• recruitment process and, if applicable based on your location, how you can
• exercise any privacy rights.